Larus Technologies
1 year ago
Data Scientist
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Company information
- Company
- Larus Technologies
- Location
- Canada, Ontario, Ottawa region, Ottawa Canada
- Posted
- 1 year ago
Job description
Job Summary Full-time: 37.5 Hours per week, Monday to Friday Location: Ottawa Office (Up to 3 days per week), 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office Reporting To: Director of Technology We are looking for an enthusiastic and self-motivated individual to join the Larus team as a Data Scientist. Our Data Science team develops end-to-end real-time solutions for the enterprise market. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. The ideal candidate will have a strong background in Data Science, with a focus on predictive modeling, data visualization, and data storytelling. The successful candidate will be able to work independently and collaboratively as part of a team, and will have excellent communication and presentation skills. The role will involve working closely with cross-functional teams to develop and implement data-driven solutions, and will require strong analytical and problem-solving skills. The ideal candidate will have a strong understanding of data visualization tools and techniques, and will be able to effectively communicate complex data insights to both technical and non-technical stakeholders. The role will also involve staying up-to-date with the latest trends and advancements in Data Science, and will require the ability to adapt to changing priorities and deadlines. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and detail-oriented individual with a passion for Data Science, we encourage you to apply.
Required skills
- analytical skills
- artificial intelligence
- machine learning
- data analytics
- problem-solving skills
- data science
- cross-functional teams
- data scientist
- data visualization
- data visualization tools
- data insights
- data storytelling
- predictive modeling
- data-driven solutions
- non-technical stakeholders
- technical stakeholders
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